Aggression Paper

Regression Paper

In today's business environment, potential employees looking for jobs are searching for the top tier in earnings. The evaluation group has reviewed numerous hypothesis tests involving pay and the people earning the pay. By using a one-sample hypothesis test indicates in order to gain the higher salaried positions the person must have present real world knowledge and current skill sets. Higher level education in the form of college or university is where an individual can reprogram themselves by adapting and studying the most current programs and communication tactics. When you take research it will show a bunch of reasons that helped people who are receiving a greater salary than most, including age, ethnicity, race to include past employment, but higher learning is usually the main contributing factor behind employers willing to dole out bigger wages for their staff. As college degrees become more common among applicants in the job market, the pay scale probably will move towards the groups acquiring bigger wages in direct relationship to the individual's education.

Looking further into the study by using the two-sample hypothesis testing to reveal if gender has a factor on acquiring a bigger salary and position, the team points out the trailing in the salaried received amongst both genders. The study of 57 men in a 100 people surveyed indicates 33% of the men passed the $40,000 in salary, compared to 43 women in a 100 people surveyed indicated only 2% of women surpassed the $40,000 in salary during the same year. This allows the team to solidify through a nonparametric method proving men will dominate the current workforce and achieve larger salaries compared to their female counterparts. This also proves education is not the catalyst to the outcome.

Purpose of the Study

When looking at the dollar amount spent on furthering education, the employee can advance their career moving up the corporate ladder when age is the prime factor. If an employee secures more pay by their tenure and experience the incentive to further their education would be nullified. The team will hold tight in order to determine the answer to see if individuals polled during the study will reflect the statement that age is the determining factor. As the individuals age, an amount of experience accompanies him or her on the career path. Experience is a non-purchasable commodity, which individuals have to earn in time.

The study team will shift its focus to the age of candidates to see if there is any correlation between the age of an individual and the amount of money, he or she makes on an annual basis. Our focus will be to perform a thorough analysis to determine if the age of an employee determines the outcome in wages earned on a yearly basis by working out a linear regression analysis through the data provided in the Wage and Wage Earners Data

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